Ada Tur

I'm a third year Computer Science and Linguistics student at McGill University in Montreal, QC, and an undergraduate researcher at McGill University/MILA in Professor Siva Reddy's NLP lab. I'm also a 2024 AAAI UC Scholar! My current research foci are computational linguistics, NLP, AI safety, and digital agents.

Previously, I was a research intern at MILA under Professor Mirco Ravanelli, where I worked on the SpeechBrain project implementing neural rescoring for ASR systems. Prior to that, I worked under Professor David Traum in the USC Institute for Creative Technologies researching human-computer interaction, as well as conducting research at CyVision on computer vision for driving assistance systems.

CV / Scholar / Twitter / Github

Research

I'm interested in research in NLP, web agents, music + AI, computational linguistics, and AI safety.

	ProGRes: Prompted Generative Rescoring on ASR n-Best Ada D. Tur, Adel Moumen, Mirco Ravanelli, Accepted to IEEE Spoken Language Technology Workshop, 2024 ! code / preprint Enhancing the performance of automatic speech recognition with large instruction-tuned language models.
	Deep Learning for Style Transfer and Experimentation with Audio Effects and Music Creation Ada D. Tur AAAI Undergraduate Consortium, 2024 paper / poster A proposal for a set of Music+AI methods that serves to assist with the writing of and melodies, modelling and transferring of timbres, applying a wide variety of audio effects, including research into experimental audio effects, and production of audio samples using style transfers
	President Botrick: An Analysis of Deep Learning-Based Conversational AI Models to Identify and Create Influential Political Speeches Ada D. Tur, Julia Hirschberg AAAI Workshop for AI and Diplomacy, 2023 github / paper Exploring the defining qualities of natural language that are considered influential and charismatic in the context of political speech using LLMs.
	Comparing Approaches to Language Understanding for Human-Robot Dialogue: An Error Taxonomy and Analysis Ada D. Tur, David R. Traum Language Resources and Evaluation Conference, 2022 github / paper A comparison between relevance-based classification and generative transformers for natural language understanding in a human-robot interaction domain.
	ML‐Based Eye Tracking for Augmented Reality Heads‐Up Displays (AR HUDs) Ada D. Tur, Deniz Yaralioglu, Cemalettin Yilmaz SID International Symposium, 2021 paper 3D Augmented Reality (AR) Heads‐up Displays (HUDs) have the potential of overlaying virtual objects at the correct locations with accurate motion parallax. Accurate overlays require tracking the pupils of the driver's eyes. We developed an ML‐based pupil tracking system based on a convolutional neural network (CNN) to find the precise location of the pupils.

Ada Tur, 2024 | Credits toJon Barron